code: def replace_nan_with_column_mean(a: np.ndarray):
      """Replaces each NaN with the mean of the corresponding column."""
      mean = np.nanmean(a, axis=0)  # get the column-wise mean
      for i in range(a.shape[1]):
          np.nan_to_num(a[:, i], copy=False, nan=mean[i])
  
file_path: privacy/tensorflow_privacy/privacy/privacy_tests/membership_inference_attack/advanced_mia.py
imports: import functools
  from typing import Optional, Sequence, Union
  import numpy
  import scipy.stats
  from tensorflow_privacy.privacy.privacy_tests.utils import log_loss
label_desc: Use image node_id 1 for calling a global function with example usage: replace_nan_with_column_mean(a) without return types